Evidence map›Paper›PMID 26460131›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

Modelling marine protected areas: insights and hurdles.

Elizabeth A Fulton, Nicholas J Bax, Rodrigo H Bustamante, Jeffrey M Dambacher, Catherine Dichmont, Piers K Dunstan, Keith R Hayes, Alistair J Hobday, Roland Pitcher, Éva E Plagányi and 4 more

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assessing the population-level conservation effects of marine protected areas.Conservation biology : the journal of the Society for Conservation Biology · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. An approach to incorporating inferred connectivity of adult movement into marine protected area design with limited data.Ecological applications : a publication of the Ecological Society of America · 2019
    Article
  11. Marine reserves solve an important bycatch problem in fisheries.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Article
  13. Measuring the difference made by conservation initiatives: protected areas and their environmental and social impacts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  14. Making parks make a difference: poor alignment of policy, planning and management with protected-area impact, and ways forward.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Elizabeth A FultonCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia beth.fulton@csiro.au.
Nicholas J BaxCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Institute for Marine and Antarctic Studies, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia.
Rodrigo H BustamanteCSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia.ORCID http://orcid.org/0000-0002-9787-338X
Jeffrey M DambacherCSIRO Digital Productivity, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia.
Catherine DichmontCSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia.
Piers K DunstanCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia.
Keith R HayesCSIRO Digital Productivity, GPO Box 1538, Hobart, Tasmania 7001, Australia.
Alistair J HobdayCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia.
Roland PitcherCSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia.
Éva E PlagányiCSIRO Oceans and Atmosphere, PO Box 2583, Brisbane, Queensland 4001, Australia.ORCID http://orcid.org/0000-0002-4740-4200
André E PuntCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia School of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, WA 98195-5020, USA.
Marie Savina-RollandLaboratoire Ressources Halieutiques, Centre Manche - Mer du Nord, 150, quai Gambetta, BP 699, 62321 Boulogne sur Mer Cedex, France.
Anthony D M SmithCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia.
David C SmithCSIRO Oceans and Atmosphere, GPO Box 1538, Hobart, Tasmania 7001, Australia Centre for Marine Socioecology, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania 7004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models provide useful insights into conservation and resource management issues and solutions. Their use to date has highlighted conditions under which no-take marine protected areas (MPAs) may help us to achieve the goals of ecosystem-based management by reducing pressures, and where they might fail to achieve desired goals. For example, static reserve designs are unlikely to achieve desired objectives when applied to mobile species or when compromised by climate-related ecosystem restructuring and range shifts. Modelling tools allow planners to explore a range of options, such as basing MPAs on the presence of dynamic oceanic features, and to evaluate the potential future impacts of alternative interventions compared with 'no-action' counterfactuals, under a range of environmental and development scenarios. The modelling environment allows the analyst to test if indicators and management strategies are robust to uncertainties in how the ecosystem (and the broader human-ecosystem combination) operates, including the direct and indirect ecological effects of protection. Moreover, modelling results can be presented at multiple spatial and temporal scales, and relative to ecological, economic and social objectives. This helps to reveal potential 'surprises', such as regime shifts, trophic cascades and bottlenecks in human responses. Using illustrative examples, this paper briefly covers the history of the use of simulation models for evaluating MPA options, and discusses their utility and limitations for informing protected area management in the marine realm.

Indexed as

Marine BiologyModels, BiologicalAnimalsClimateConservation of Natural ResourcesCoral ReefsEcosystemHumanscounterfactualmodellingMPAspatial management

Identifiers

PMID26460131
PMCPMC4614735

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.